Abstract: A flying vehicle is disclosed with a plurality of projectile systems that each contains a projectile for projecting at another flying device. The flying vehicle can include a control system, a flight system in communication with the control system for enabling the flying vehicle to fly, a first projectile system in communication with the control system and a second projectile system in communication with the control system. The control system determines, based on a characteristic of a target flying vehicle, whether to implement a first mode utilizing the first projectile system or a second mode utilizing the second projectile system to capture the target flying vehicle.

Abstract: Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Abstract: Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: A flying vehicle is disclosed with a projectile module or component that contains a projectile for projecting at another flying device. The flying vehicle receives an identification of a target flying device and applies a projectile model which generates a determination that indicates whether a projectile, if fired from the projectile component, the projectile will hit the target flying device. The projectile model taking into account one or more of a wind modeling in an area around the flying vehicle based on an inference of wind due to a tilt of the flying vehicle, a projected path of the target device based on its identification and a drag on the projectile as it deploys from the projectile component. When the determination indicates that the projectile will hit the targeted device according to a threshold value, the flying vehicle fires the projectile at the targeted flying device.

Abstract: An example method can include generating, via the first sensor, a first group of output tracks associated with a motion of a first target object; generating, via the second sensor, a second group of output tracks associated with the motion of a second target object; analyzing, via a track analysis module, the first group of output tracks and the second group of output tracks to determine whether the first target object and the second target object are a same object to yield a determination; and, when the determination indicates that the first target object and the second target object are the same object, presenting a graphical user interface on a computing device that enables a user to select whether to display on the graphical user interface: (1) a single track from the first group of output tracks or the second group of output tracks and (2) a fused group of tracks selected from the first group of output tracks or the second group of output tracks.

Abstract: An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

Abstract: Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Abstract: An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

Abstract: Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Abstract: An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

Abstract: A flying vehicle is disclosed with a plurality of projectile systems that each contains a projectile for projecting at another flying device. The flying vehicle can include a control system, a flight system in communication with the control system for enabling the flying vehicle to fly, a first projectile system in communication with the control system and a second projectile system in communication with the control system. The control system determines, based on a characteristic of a target flying vehicle, whether to implement a first mode utilizing the first projectile system or a second mode utilizing the second projectile system to capture the target flying vehicle.

Abstract: Systems, methods, and computer-readable media are described using radar systems to avoid vehicle collisions. An example radar system can include antennas mounted on an aircraft, where each antenna has a different orientation facing a different direction away from the aircraft. The radar system can include one or more processing devices and a computer-readable storage medium storing instructions which, when executed by the one or more processing devices, cause the radar system to coordinate digital beam steering and digital beam forming with the antennas to produce a radar coverage area that includes a portion of an airspace around the aircraft; detect, based a signal transmitted by the antennas using the digital beam steering and digital beam forming, an object within the radar coverage area; and generate collision avoidance information including an indication of the object detected within the radar coverage area and/or an instruction for avoiding a collision with the object.

Abstract: A flying vehicle is disclosed with a projectile module or component that contains a projectile for projecting at another flying device. The flying vehicle receives an identification of a target flying device and applies a projectile model which generates a determination that indicates whether a projectile, if fired from the projectile component, the projectile will hit the target flying device. The projectile model taking into account one or more of a wind modeling in an area around the flying vehicle based on an inference of wind due to a tilt of the flying vehicle, a projected path of the target device based on its identification and a drag on the projectile as it deploys from the projectile component. When the determination indicates that the projectile will hit the targeted device according to a threshold value, the flying vehicle fires the projectile at the targeted flying device.

Abstract: A flying vehicle is disclosed with a projectile module or component that contains a projectile for projecting at another flying device. The flying vehicle receives an identification of a target flying device and applies a projectile model which generates a determination that indicates whether a projectile, if fired from the projectile component, the projectile will hit the target flying device. The projectile model taking into account one or more of a wind modeling in an area around the flying vehicle based on an inference of wind due to a tilt of the flying vehicle, a projected path of the target device based on its identification and a drag on the projectile as it deploys from the projectile component. When the determination indicates that the projectile will hit the targeted device according to a threshold value, the flying vehicle fires the projectile at the targeted flying device.

Abstract: An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

Abstract: A flying vehicle is disclosed with a projectile module or component that contains a projectile for projecting at another flying device. The flying vehicle receives an identification of a target flying device and applies a projectile model which generates a determination that indicates whether a projectile, if fired from the projectile component, the projectile will hit the target flying device. The projectile model taking into account one or more of a wind modeling in an area around the flying vehicle based on an inference of wind due to a tilt of the flying vehicle, a projected path of the target device based on its identification and a drag on the projectile as it deploys from the projectile component. When the determination indicates that the projectile will hit the targeted device according to a threshold value, the flying vehicle fires the projectile at the targeted flying device.

Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.